American Association of Petroleum Geologists
Postdoctoral Fellow in Fisheries Bioinformatics
American Association of Petroleum Geologists, Ann Arbor, Michigan, us, 48113
Applications are welcomed and encouraged from all qualified individuals regardless of background and identity. To apply, please complete the application on the U-M Careers site. A one page cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline experience that is directly related to this position.Applicants should submit the following materials with their application:Cover letter describing your specific interest in the position, research accomplishments, and qualifications related to the positionCurriculum vitaeContact information for three professional referencesRepresentative publications, if availableApplications that do not contain items 1-3 listed above will not be reviewed. Please email Mary Ogdahl (
ogdahlm@umich.edu
) any application materials that are too large to upload.The hiring committee will begin reviewing applications on 10/16/24, and this posting will remain open until filled.A postdoctoral fellowship is available for a highly qualified individual to join the Cooperative Institute for Great Lakes Research (CIGLR:
https://ciglr.seas.umich.edu/ ). The successful candidate will work with a dynamic team of scientists at CIGLR, the University of Michigan School for Environment and Sustainability (SEAS), and the U.S. Geological Survey Great Lakes Science Center to advance understanding of species relationships of Great Lakes prey fish (coregonines) and support the conservation and restoration of native fish populations. Specifically, this project will help build bioinformatics capacity and determine baselines of historical and contemporary fish diversity across the Great Lakes.The primary focus of this project is to examine the role of selection, plasticity, and hybridization in the species relationships of Great Lakes coregonines. The candidate will be welcome to explore any additional research questions that arise from analyzing the genomic data. The postdoc will be expected to maintain a strong record of scholarly publication and presentations at scientific conferences and public meetings. This position offers mentoring for scientific and professional development.Note:
This position will be a one (1) full-time term limited appointment with the possibility of renewal.Evaluate spatial and temporal diversity in wild parent stocks of coregonines used for restoration with Restriction-site Associated DNA sequencing (RADseq) data from wild populations supporting hatchery stocks.Identify genomic regions under divergent selection to support new tools for the rapid identification of stocks and sex, and for evaluating the success of hybridization among species, using low-coverage whole genome sequencing (lcWGS) data.Use high-coverage WGS data to determine the role of selection and hybridization in historical and contemporary diversity within the Great Lakes cisco species complex, shedding light on how it has adapted to rapid environmental changes and how hybridization has impacted genetic diversity and species integrity.Collaborate with technicians preparing genomic libraries in the Molecular Ecology Laboratory at the USGS Great Lakes Science Center.Lead at least one manuscript based on research findings for submission to a peer-reviewed journal and present results at a conference(s). A manuscript is expected to be initiated within 6-12 months from the start date.Minimum Qualifications:A Ph.D. in biology, bioinformatics, oceanography, or environmental science, or a similar field, with a strong background in bioinformatics.Experience analyzing large and complex genomic datasets derived from field and/or laboratory samples.Experience with high-performance computing, Linux command line, scripting languages (Perl, Python, R and/or Bash), and databases (e.g., SQL), various bioinformatic software, and statistical approaches to `omics data.Demonstrated ability to work independently in a research setting, as well as collaboratively as a team member.Strong communication skills and a demonstrated ability to lead the development of manuscripts for refereed journal publication are needed.The candidate for this position will be required to pass a federal background check for access to USGS facilities and computing resources.The position is expected to start during late Fall 2024 or early Winter 2025.Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled any time after the minimum posting period has ended.The University of Michigan is an equal opportunity/affirmative action employer.
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ogdahlm@umich.edu
) any application materials that are too large to upload.The hiring committee will begin reviewing applications on 10/16/24, and this posting will remain open until filled.A postdoctoral fellowship is available for a highly qualified individual to join the Cooperative Institute for Great Lakes Research (CIGLR:
https://ciglr.seas.umich.edu/ ). The successful candidate will work with a dynamic team of scientists at CIGLR, the University of Michigan School for Environment and Sustainability (SEAS), and the U.S. Geological Survey Great Lakes Science Center to advance understanding of species relationships of Great Lakes prey fish (coregonines) and support the conservation and restoration of native fish populations. Specifically, this project will help build bioinformatics capacity and determine baselines of historical and contemporary fish diversity across the Great Lakes.The primary focus of this project is to examine the role of selection, plasticity, and hybridization in the species relationships of Great Lakes coregonines. The candidate will be welcome to explore any additional research questions that arise from analyzing the genomic data. The postdoc will be expected to maintain a strong record of scholarly publication and presentations at scientific conferences and public meetings. This position offers mentoring for scientific and professional development.Note:
This position will be a one (1) full-time term limited appointment with the possibility of renewal.Evaluate spatial and temporal diversity in wild parent stocks of coregonines used for restoration with Restriction-site Associated DNA sequencing (RADseq) data from wild populations supporting hatchery stocks.Identify genomic regions under divergent selection to support new tools for the rapid identification of stocks and sex, and for evaluating the success of hybridization among species, using low-coverage whole genome sequencing (lcWGS) data.Use high-coverage WGS data to determine the role of selection and hybridization in historical and contemporary diversity within the Great Lakes cisco species complex, shedding light on how it has adapted to rapid environmental changes and how hybridization has impacted genetic diversity and species integrity.Collaborate with technicians preparing genomic libraries in the Molecular Ecology Laboratory at the USGS Great Lakes Science Center.Lead at least one manuscript based on research findings for submission to a peer-reviewed journal and present results at a conference(s). A manuscript is expected to be initiated within 6-12 months from the start date.Minimum Qualifications:A Ph.D. in biology, bioinformatics, oceanography, or environmental science, or a similar field, with a strong background in bioinformatics.Experience analyzing large and complex genomic datasets derived from field and/or laboratory samples.Experience with high-performance computing, Linux command line, scripting languages (Perl, Python, R and/or Bash), and databases (e.g., SQL), various bioinformatic software, and statistical approaches to `omics data.Demonstrated ability to work independently in a research setting, as well as collaboratively as a team member.Strong communication skills and a demonstrated ability to lead the development of manuscripts for refereed journal publication are needed.The candidate for this position will be required to pass a federal background check for access to USGS facilities and computing resources.The position is expected to start during late Fall 2024 or early Winter 2025.Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled any time after the minimum posting period has ended.The University of Michigan is an equal opportunity/affirmative action employer.
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